ISKM68 Kvantitativní analýza dat empirických šetření

Faculty of Arts
Spring 2021
Extent and Intensity
0/2/0. 5 credit(s). Type of Completion: k (colloquium).
Teacher(s)
Mgr. David Lacko (lecturer)
Mgr. Čeněk Šašinka, Ph.D. (lecturer)
Guaranteed by
PhDr. Petr Škyřík, Ph.D.
Department of Information and Library Studies - Faculty of Arts
Contact Person: Mgr. Alice Lukavská
Supplier department: Department of Information and Library Studies - Faculty of Arts
Prerequisites
Methodology for Information and Library Studies 1 and 2; thesis assigned.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 10 student(s).
Current registration and enrolment status: enrolled: 0/10, only registered: 0/10, only registered with preference (fields directly associated with the programme): 0/10
fields of study / plans the course is directly associated with
there are 15 fields of study the course is directly associated with, display
Course objectives
The aim of the course is to help students with data analysis for their own thesis. The course follows the Methodology for Information and Library Studies 1 and 2. Specific issues of data analysis are consulted.
Learning outcomes
Student will be able to:
- plan data collection;
- choose adequate methods and customized them for own purposes;
- perform data analysis in statistical software;;
- perform data visualisation;
- report results;
- interpret results.
Syllabus
  • The aim of the course is help students with data analysis of their own data. The course is based on individual consultations of data analysis of research projects. The statistical software, e.g. SPSS, Microsoft Excel, JASP or R, will be utilized.
Literature
  • HENDL, Jan. Přehled statistických metod : analýza a metaanalýza dat. Páté, rozšířené vydán. Praha: Portál, 2015. 734 stran. ISBN 9788026209812. info
Teaching methods
Individual consultations.
Assessment methods
To pass the colloquium, a student has to make a project of the data analysis and conduct the data analysis and the interpretation of the results.
Language of instruction
Czech
Teacher's information
It is recommended to take this course when the student has or during the semester will have his/her own data to data analysis.
The course is also listed under the following terms Spring 2020.
  • Enrolment Statistics (Spring 2021, recent)
  • Permalink: https://is.muni.cz/course/phil/spring2021/ISKM68